Rob Dennison
About Me
PhD student at The University of Sheffield, Visual Computing Research Group.
Research
This page contains published research, video demonstrations and links to any published code.
Using The Polynomial Particle-In-Cell Method For Liquid-Fabric Interaction
The work was accepted as a short paper for GRAPP 2024, and was presented by myself.
Abstract
Authors: Robert Dennison, Steve Maddock
Liquid-fabric interaction simulations using particle-in-cell (PIC) based models have been used to simulate a wide variety of phenomena and yield impressive visual results.
However, these models suffer from numerical damping due to the data interpolation between the particles and grid.
Our paper addresses this by using the polynomial PIC (PolyPIC) model instead of the affine PIC (APIC) model that is used in current state-of-the-art wet cloth models.
The affine transfers of the APIC model are replaced by the higher order polynomials of PolyPIC, thus reducing numerical dissipation and improving resolution of vorticial details.
This improved energy preservation enables more dynamic simulations to be generated although this is at an increased computational cost.
The published paper can be found here.
The code repository for this work can be found here.
Demonstration Videos
A rendered view of a ball of fluid falling onto yarn-based fabric. Rendered using Houndini.
Comparisons of simulations using APIC and PolyPIC.